Senior Data Engineer
Alvys
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Define and refine Alvys' strategy for LLM-based data products, including data preparation, feature engineering, and semantic layer design for AI applications.
- Build and operationalize large-scale ML and LLM model development and deployment pipelines using Snowflake Cortex and modern MLOps practices.
- Lead the design and evolution of our Snowflake-centric data platform, including storage, processing, semantic modeling, and integration strategies.
- Design and build reliable, performant ETL/ELT pipelines and Reverse ETL workflows for batch, streaming, and real-time data ingestion.
- Leverage Snowflake Cortex for AI/ML workloads, including semantic models, LLM agents, and embedded analytics.
- Develop data models, semantic views, and transformations for both online (real-time) and offline analytical workloads, facilitating business intelligence and predictive analytics.
- Continually monitor, optimize, and tune Snowflake data systems for high scalability, reliability, and cost efficiency.
- Partner with cross-functional teams to implement best practices around data security, quality, governance, and compliance.
- Serve as the organization's go-to expert for emerging data engineering trends, LLM applications, and Snowflake capabilities, providing strategic direction and mentorship to team members.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of professional experience in Data Engineering or a related role, with a strong focus on designing and implementing data architecture.
- Strong proficiency with Snowflake (data modeling, performance optimization, SQL, security).
- Proven track record building, scaling, and maintaining data pipelines and ETL/ELT processes in a production environment.
- Experience with ML/LLM model development and deployment in production environments.
- Proficiency with SQL and one or more programming languages (Python, C#, TypeScript/Node).
- Experience with cloud-based data platforms (Azure, AWS, or GCP).
- Experience working with real-time streaming solutions and Reverse ETL workflows.
- Familiarity with machine learning pipelines, LLM-based applications, feature engineering, and model deployment.
Benefits
- Equal Employment Opportunity
- Accommodations available during recruitment process
- Diverse team of highly talented people
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data preparationfeature engineeringsemantic layer designML model developmentLLM model deploymentETL pipelinesELT pipelinesReverse ETL workflowsdata modelingSQL
Soft Skills
leadershipmentorshipcross-functional collaborationstrategic direction
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Data Science